# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (C) 2014-2023 GEM Foundation
#
# OpenQuake is free software: you can redistribute it and/or modify it
# under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OpenQuake is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with OpenQuake. If not, see <http://www.gnu.org/licenses/>.
import logging
import os.path
import socket
import cProfile
import warnings
import getpass
from pandas.core.common import SettingWithCopyWarning
from openquake.baselib import performance, general
from openquake.hazardlib import valid
from openquake.commonlib import logs, datastore, readinput
from openquake.calculators import base, views
from openquake.engine.engine import create_jobs, run_jobs
from openquake.server import dbserver
calc_path = None # set only when the flag --slowest is given
# called when profiling
def _run(job_ini, concurrent_tasks, pdb, reuse_input, loglevel, exports,
params, user_name, host=None):
global calc_path
if 'hazard_calculation_id' in params:
hc_id = int(params['hazard_calculation_id'])
if hc_id < 0: # interpret negative calculation ids
calc_ids = datastore.get_calc_ids()
try:
params['hazard_calculation_id'] = calc_ids[hc_id]
except IndexError:
raise SystemExit(
'There are %d old calculations, cannot '
'retrieve the %s' % (len(calc_ids), hc_id))
else:
params['hazard_calculation_id'] = hc_id
dic = readinput.get_params(job_ini, params)
# set the logs first of all
log = logs.init("job", dic, getattr(logging, loglevel.upper()),
user_name=user_name, host=host)
logs.dbcmd('update_job', log.calc_id,
{'status': 'executing', 'pid': os.getpid()})
with log, performance.Monitor('total runtime', measuremem=True) as monitor:
calc = base.calculators(log.get_oqparam(), log.calc_id)
if reuse_input: # enable caching
calc.oqparam.cachedir = datastore.get_datadir()
calc.run(concurrent_tasks=concurrent_tasks, pdb=pdb, exports=exports)
logging.info('Total time spent: %s s', monitor.duration)
logging.info('Memory allocated: %s', general.humansize(monitor.mem))
print('See the output with silx view %s' % calc.datastore.filename)
calc_path, _ = os.path.splitext(calc.datastore.filename) # used below
return calc
[docs]def main(job_ini,
pdb=False,
reuse_input=False,
*,
slowest: int = None,
hc: int = None,
param='',
concurrent_tasks: int = None,
exports: valid.export_formats = '',
loglevel='info'):
"""
Run a calculation
"""
# os.environ['OQ_DISTRIBUTE'] = 'processpool'
warnings.filterwarnings("error", category=SettingWithCopyWarning)
if not os.environ.get('OQ_DATABASE'):
dbserver.ensure_on()
user_name = getpass.getuser()
try:
host = socket.gethostname()
except Exception: # gaierror
host = None
if param:
params = dict(p.split('=', 1) for p in param.split(','))
else:
params = {}
if hc:
params['hazard_calculation_id'] = str(hc)
if slowest:
prof = cProfile.Profile()
prof.runctx('_run(job_ini[0], 0, pdb, reuse_input, loglevel, '
'exports, params, host)', globals(), locals())
pstat = calc_path + '.pstat'
prof.dump_stats(pstat)
print('Saved profiling info in %s' % pstat)
data = performance.get_pstats(pstat, slowest)
print(views.text_table(data, ['ncalls', 'cumtime', 'path'],
ext='org'))
return
if len(job_ini) == 1:
return _run(job_ini[0], concurrent_tasks, pdb, reuse_input,
loglevel, exports, params, user_name, host)
jobs = create_jobs(job_ini, loglevel, hc_id=hc,
user_name=user_name, host=host)
for job in jobs:
job.params.update(params)
job.params['exports'] = ','.join(exports)
run_jobs(jobs)
main.job_ini = dict(help='calculation configuration file '
'(or files, space-separated)', nargs='+')
main.pdb = dict(help='enable post mortem debugging', abbrev='-d')
main.reuse_input = dict(help='reuse source model and exposure')
main.slowest = dict(help='profile and show the slowest operations')
main.hc = dict(help='previous calculation ID')
main.param = dict(help='override parameter with the syntax NAME=VALUE,...')
main.concurrent_tasks = dict(help='hint for the number of tasks to spawn')
main.exports = dict(help='export formats as a comma-separated string')
main.loglevel = dict(help='logging level',
choices='debug info warn error critical'.split())